Embark on the fast-track to Python proficiency with a focus on preparing you for machine learning applications. Our accelerated approach covers essential concepts, enabling you to confidently build, automate, and analyze data while laying a strong foundation for diving into the world of machine learning. Master concepts such as data structures, control flow, and object-oriented programming in record time.
Version Control
Learn about version control systems, mainly Git and GitHub. Get practical knowledge of committing changes, branching, merging, and conflict resolution, laying a solid foundation for collaborative development efforts. As well as understanding key concepts such as repositories, commit histories, and remote synchronization.
Database and SQL programming
Learn how to write SQL queries and amplifies your data retrieval skills. Explore the practical applications of Elastic Search, covering free-text search, keyword matching, typo handling through fuzzy logic, and k-nearest neighbors search.
Data Wrangling with Pandas
Step into the world of data manipulation and learn the ropes of efficient data cleaning. This module provides hands-on experience with the Python library Pandas, a powerful data analysis tool.
Data Cleansing Techniques
Discover the importance of clean, reliable data by delving into advanced data cleansing methodologies. This module will equip you with essential skills and best practices to identify and address inconsistencies, errors, and inaccuracies.
Visualizing Data with Matplotlib
Master the art of data comprehension using Python's leading visualization library, Matplotlib. Create insightful visuals that transform raw data, enabling informed decision-making and effective machine learning model pre-processing.
